Toward construction of a corpus of english learners' utterances annotated with speaker proficiency profiles: Data collection and sample annotation

Yasunari Harada*, Kanako Maebo, Mayumi Kawamura, Masanori Suzuki, Yoichiro Suzuki, Noriaki Kusumoto, Joji Maeno

*この研究の対応する著者

研究成果: Conference contribution

抄録

The first author has designed and implemented college English classes emphasizing face-to-face oral interactions within small groups of students in class, presupposing and expecting further cultivation of learners' ability to learn for themselves, by themselves and among themselves. Previous experiences confirm such expectations, and the authors are currently working on collecting learners' spoken interactions with high-quality digital audio and video recording devices along with written materials, scores of language proficiency tests and questionnaire responses of those students. In this presentation, we describe the scope and objective of our project, summarize class activities and recording procedures, and then touch on expected transcription procedures and possible tools for annotation. It may be interesting to notice, in passing, how introduction of various recording devices positively affect students' motivations and performances in their language learning activities.

本文言語English
ホスト出版物のタイトルLarge-Scale Knowledge Resources
ホスト出版物のサブタイトルConstruction and Application - Third International Conference on Large-Scale Knowledge Resources, LKR 2008, Proceedings
ページ171-178
ページ数8
DOI
出版ステータスPublished - 2008 3月 14
イベント3rd International Conference on Large-Scale Knowledge Resources, LKR 2008 - Tokyo, Japan
継続期間: 2008 3月 32008 3月 5

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4938 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference3rd International Conference on Large-Scale Knowledge Resources, LKR 2008
国/地域Japan
CityTokyo
Period08/3/308/3/5

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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